Instructions to use mrm8488/convbert-small-spanish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/convbert-small-spanish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="mrm8488/convbert-small-spanish")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("mrm8488/convbert-small-spanish") model = AutoModel.from_pretrained("mrm8488/convbert-small-spanish", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58e046c56dff362d5f665977f6ffe11486d636da943c41875f972ef4eff73ca5
- Size of remote file:
- 52.7 MB
- SHA256:
- fa4232e217c26414684181a8684401d6b97036f204531e36ab192f11e26ae7fa
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